Details of a Researcher - INUZUKA Nobuhiro

Papers - INUZUKA Nobuhiro

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Store Clustering Based on Product Genre Representation in POS Data Reviewed

Yuta Marui,Atsuko Mutoh,Kosuke Shima,Koichi Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka

Program for 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) 2024.10

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

Martial Arts Demonstration Evaluation System Using Machine Learning to Reflect the Actual Evaluation Methods of Instructors Reviewed

Takeo Ueda, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka

Procedia Computer Science (Prod. KES 2024) 2024.09

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

Enhancing Retrieval Processes for Language Generation with Augumented Queries to Provide Factual Ingormation on Schizophrenia Reviewed International coauthorship

Julien Pierre Edmond Ghali, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

Procedia Computer Science (Prod. KES 2024) 2024.09

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

Learning to Avoid Multiple Moving Obstacles Using Artificial Dangerous Fields

Shohei Yamanaka, Atsuko Mutoh, Kousuke Shima, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka

2024-ICS-215 ( 5 ) 1 - 6 2024.09

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=239057&item_no=1

Acquisition of Cooperative Behavior Using Curriculum Learning in Geometry Friends

2024-GI-51 ( 21 ) 1 - 7 2024.03

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

SACEQ: 連続空間における成功確率と収益に基づく安全な強化学習

大橋宥斗,松井藤五郎,武藤敦子,森山甲一,島孔介,犬塚信博

研究報告数理モデル化と問題解決（MPS） 2024-MPS-147 ( 1 ) 1 - 8 2024.02

Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：情報処理学会

本論文では，連続行動空間を扱うことができる Soft Actor-Critic (SAC) を成功確率と収益に基づく強化学習 (EQ) に拡張する手法を提案する．近年，宇宙や被災地をはじめとした危険な環境においてロボットが突然危険な状況に陥ることを自律的に回避するために，強化学習により危険回避行動を学習する安全な強化学習という枠組みが提案されている．安全な強化学習の手法の一つに，高次元連続観測空間を扱う成功確率と収益に基づく強化学習 (HDEQ) がある．HDEQ は，本来離散空間のみで行えた成功確率と収益に基づく強化学習 (EQ) を拡張した手法であるが，連続行動空間を扱うことができなかった．そこで本論文では，連続観測空間のみならず連続行動空間においても EQ を扱えるよう，連続行動空間を扱うことができる SAC を拡張する．本論文では，この手法を Soft Actor-Critic for EQ (SACEQ) と呼ぶ．危険の回避が必要な環境における実験で，SACEQの効果を確認した．

Community Activity Model Reflected Community Consciousness

Takuya Sadasue,Kohsuke Shima,Atsuko Mutoh,Koichi,Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka

2024-MPS-147 ( 4 ) 1 - 6 2024.02

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

In recent years, the weakening of local community bonds has become a societal issue. Moreover, community societies are diverse groups composed of individuals with varying ages and values, and their composition varies depending on the region, such as rural or urban areas. Existing community activity models design the decision-making of agents based on the framework of planned action theory, making it difficult to express the diversity of local communities and their specific characteristics. In this study, we introduce a community consciousness that represents individuals' attitudes towards community into the existing models. Additionally, using the proposed model, we observe and analyze the impact of community consciousness on the formation of community activities. Through this analysis, we contemplate operational strategies to increase community activity participation by engaging individuals with low interest in community activities.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=232787&item_no=1&page_id=13&block_id=8

Game Recommend System Considering Playing Time With Friends

Kazuki Iwadare,Kohsuke Shima,Atsuko Mutoh,Koichi Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka

2024-MPS-147 ( 6 ) 1 - 6 2024.02

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Information overload has become a problem because of the rapid development of the Internet, and recommendation systems have attracted attention and research as a solution. The use of game play time data has become mainstream in the gaming field, often focusing on the game play time of a single player and data about the game. However, many recent games require interaction with other players, and it is highly likely that players are influenced by players other than themselves. In this study, we proposed a new game recommendation system based on the relationship between in-game friends and game selection, focusing on co-play time, which is the time spent playing games together with in-game friends. Furthermore, we confirmed the effectiveness of the proposed method through experiments.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=232789&item_no=1

Opinion formation model considering fact-checking on SNS

2024-MPS-147 ( 8 ) 1 - 6 2024.02

Authorship：Last author

In recent years, information exchange through Social Networking Systems (SNS) has become popular, but it has been pointed out that it creates a polarized information environment known as an echo chamber. Prior research has proposed an opinion formation model that mimics SNS, and has shown that the basic structure of SNS promotes the occurrence of echo chambers and polarization of opinions. Although this model assumes political opinions among people with different partisanship, it has been confirmed that in the real world, the echo chamber phenomenon also occurs due to misinformation spread on SNSs. In addition, although fact-checking activities to correct misinformation have been conducted, it is considered possible that corrected information is not shared in an environment where echo chambers are formed. In this study, we propose a model of opinion formation on SNS that takes into account fact-checking and examine the impact of fact-checking in an environment where echo chambers are formed.

Evaluation System for Martial Arts Demonstration Using Acceleration Sensor Considering Uncertainty of Actual Evaluation Reviewed

Shohei Yamanaka, Atsuko Mutoh, Kousuke Shima, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka

17 ( 1 ) 23 - 28 2024.02

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal)

The recent proliferation of smartphones has made it possible for the common user to analyze movements without the use of special devices such as Kinect. A system that uses decision tree learning to evaluate the performance of a martial arts demonstration based on features obtained from the acceleration information of a smartphone attached to the performer's waist has been proposed, but the prediction accuracy of the system is not high. The reasons for this may be that the feature selection method is not appropriate and is not in line with the actual evaluation method of martial arts demonstrations. In the actual evaluation of martial arts demonstrations, which consist of multiple movements, the evaluator intuitively derives a single overall evaluation by summarizing the evaluations for each movements, so it is inappropriate to apply machine learning directly to each movement and the overall evaluation. In the proposed model, we realized a model that is closer to the human evaluation method by using machine learning on noisy labels to calculate the overall evaluation based on the majority vote of each movement evaluation, and confirmed that it can reproduce the evaluator's evaluation with high accuracy in experiments.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=232853&item_no=1

Applying Degree of Contribution to Curiosity-driven Search for Multi-agent Pursuit of Learning Preys

2024-ICS-212 ( 2 ) 1 - 7 2024.02

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=232675&item_no=1&page_id=13&block_id=8

Enhancing Retrieval Processes for Language Generation with Augmented Queries International coauthorship International journal

Julien Pierre Edmond Ghali, Kosuke Shima, Koichi Moriyama, Atsuko Mutoh, Nobuhiro Inuzuka

2402 ( 16874 ) 1 - 28 2024.02

Authorship：Last author Language：English Publishing type：Research paper (other academic) Publisher：arXiv

In the rapidly changing world of smart technology, searching for documents has become more challenging due to the rise of advanced language models. These models sometimes face difficulties, like providing inaccurate information, commonly known as "hallucination." This research focuses on addressing this issue through Retrieval-Augmented Generation (RAG), a technique that guides models to give accurate responses based on real facts. To overcome scalability issues, the study explores connecting user queries with sophisticated language models such as BERT and Orca2, using an innovative query optimization process. The study unfolds in three scenarios: first, without RAG, second, without additional assistance, and finally, with extra help. Choosing the compact yet efficient Orca2 7B model demonstrates a smart use of computing resources. The empirical results indicate a significant improvement in the initial language model's performance under RAG, particularly when assisted with prompts augmenters. Consistency in document retrieval across different encodings highlights the effectiveness of using language model-generated queries. The introduction of UMAP for BERT further simplifies document retrieval while maintaining strong results.

Other Link： https://arxiv.org/abs/2402.16874

Automating Lexicon Generation: A Comprehensive Review of Alternative Approaches Reviewed International coauthorship International journal

Julien Pierre Edmond Ghali, Nobuhiro Inuzuka, Kosuke Shima, Koichi Moriyama, Atsuko Mutoh

Procedia Computer Science 225 1142 - 1150 2023.12

Language：English Publishing type：Research paper (scientific journal) Publisher：ScienceDirect

Lexicon-based approaches to Document Classification are widely used, but the manual construction of lexicons can be time-consuming and resource-intensive. In this paper, we propose methods for automating the generation of lexicons later used for Document Classification. We explored diverse methods for generating lexicons, including semantic matches, frequency-based approaches, machine learning algorithms, and large language model techniques. We, later, used these lexicons to classify documents based on their content. By comparing our different lexicons results on a same task, based on criteria such as scalability and the F1 score, we determine optimized use-case for those methods. We show that our automated approaches are effective and efficient, producing accurate classifications with minimal human intervention. Some approaches have the potential to streamline the document classification process, reducing the time and resources required for manual lexicon generation, it also gives optimized use-case for the different methods. Thereafter, we discussed the obtained results.

DOI： https://doi.org/10.1016/j.procs.2023.10.102

Other Link： https://www.sciencedirect.com/science/article/pii/S1877050923012607

Store Cluster Analysis by Extracting Order Trends Using POS Data Reviewed

2023-BIO-73 ( 12 ) 1 - 6 2023.10

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal)

POS data analysis is a technique for analyzing consumer purchasing behavior. In order to improve product sales, there is a technique for clustering stores based on the ratio of product sales by genre to total retail store sales, and clarifying the relationship between location and the tendency to order at stores within a cluster. However, in restaurants, the trend is not in the number of product sales, but in the content of individual customer orders. In this study, we propose a method to classify stores by extracting ordering trends from the orders of each receipt using non-negative matrix factorization. Since this method classifies stores based on frequently occurring order trends, it can be used to identify the relationship between store needs and location/environment. In an experiment, we applied the proposed method to POS data of several restaurants and confirmed its effectiveness.

Evacuation Planning Model Considering Diurnal Variation in the Number of People Staying

16 ( 2 ) 103 - 109 2023.10

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal)

In recent years, we have seen many large-scale disasters such as earthquakes, and overflows of shelter capacity often occurred due to the day-night population gap at the time of the Great East Japan Earthquake. Therefore, it has become an important issue to allocate shelters in consideration of the day-night population gap (diurnal variation). In the shelter assignment problem, the use of zero-suppressed dichotomous decision graphs (ZDD) makes it possible to enumerate all patterns of shelter assignment. Studies using ZDD evaluated the distance to the shelter and the capacity factor, but did not consider the dwell time on the travel route, and used the fixed number of evacuees. In this study, we add an evaluation index using a network flow simulation method in order to take into account the number of people who stay in shelters along travel routes. In addition, we propose a method for obtaining shelter allocation that takes into account the diurnal variation in the number of people staying in shelters using stay history data for all time segments. In our experiments, we used three evaluation values: distance, occupancy rate, and evacuation completion time, and confirmed the effectiveness of the method through experiments using real environments.

Effect of Curiosity-driven Search in Multi-agent Deep Reinforcement Learning Reviewed

16 ( 2 ) 80 - 90 2023.10

Authorship：Last author Language：Japanese

In a multi-agent environment where multiple agents exist, the agents may achieve better results by cooperating one another than by acting self-interestedly. Curiosity-driven exploration, which is used in a single-agent environment with sparse rewards, offers rewards to unknown states, and the agent learns a policy to seek such unknown states accordingly. Using it in a multi-agent environment may allow the agents to acquire cooperative behavior by promoting exploration and changing the reward structure. The experiments we conducted in a predator-prey problem show that the curiosity-driven exploration allows the predators to catch more preys.

An Analysis of Stylistic Feature Changes in Language Use with Conversation Volume on Twitter Reviewed

16 ( 1 ) 1 - 7 2023.03

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal)

In the field of sociolinguistics, it has been shown that people manipulate their social distance from others and increase the efficiency of communication by changing their language in conversation based on accommodation theory. In social psychology, the mere exposure effect, in which repeated contact improves the impression the other person, has been identified, and some studies have shown that the greater the number of contacts in a short period, the better the impression. Conversation is one way people make contact, and we can assume that people manipulate their relationships with others by improving their impressions of others and changing their language through increased conversation. On the other hand, the platform Twitter enables the observation of people's behaviour on a large scale. `Reply' on Twitter can be regarded as conversations with others. In this study, we propose a model to quantitatively extract changes in stylistic features of language with the volume of conversation per unit time on Twitter. In the proposed model, we convert the stylistic features of the conversation data into a textual feature matrix. Then, we analyze the conversation data by extracting important textual features that increase or decrease with the conversation volume per unit time using non-negative matrix factorization. Experimental results showed a number of linguistic findings, such as the fact that increased volume of conversations leads to fewer polite expressions and more straightforward sentences.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=225568&file_id=1&file_no=1

隠れインデックスファンド検出のための One-class SVM 出力校正法

籔内陽斗, 松井藤五郎, 武藤敦子, 島孔介, 森山甲一, 犬塚信博

研究報告バイオ情報学（BIO） 2023 ( FIN-030 ) 32 - 39 2023.03

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

ファンド(投資信託)の中には目論見書に記された運用方針と実際の運用方針が異なる場合がある。先行研究では実際の運用方針に基づくファンドのグループ分けを目的に、月次リターンの時系列に対してk-meansとUMAPを組み合わせた手法を用いてファンドをクラスタリングする方法が提案された。しかし、k-meansによるクラスタリングではラベル情報を一切使用しないという問題がある。本論文では、インデックスファンドのラベルは正しいと仮定し、ラベル情報を使用可能な手法であるOne-class SVMを導入する。ところが、通常のOne-class SVMでは、ラベルが付与されたインデックスファンドだけをインデックスと判別するモデルを作成するため、インデックスに類似した隠れインデックスファンドをインデックスと判別することができない。この問題を解決するために、本論文ではOne-class SVMモデルの出力値に着目し、One-class SVMの出力を校正する新しい方法を提案する。提案手法を同一の指標をベンチマークとするファンド群に対して適用することで隠れインデックスファンドを見つけることができた。

DOI： https://doi.org/10.11517/jsaisigtwo.2023.FIN-030_32

マルチエージェント深層強化学習における好奇心探索の影響

岩科亨, 森山甲一, 松井藤五郎, 武藤敦子, 犬塚信博

研究報告数理モデル化と問題解決（MPS） 2023-MPS-142 ( 14 ) 1 - 6 2023.03

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

マルチエージェント環境には複数のエージェントが存在するが，それぞれが利己的な行動を獲得してしまうよりも，協力することでより良い結果が得られる可能性がある．報酬が疎なシングルエージェント環境で利用される好奇心探索は，未知の状態に対し報酬を与えることで最大化すべき報酬が変化し，それに伴い方策も未知の状態を求めるよう変化する．それをマルチエージェント環境で用いることで，探索拡大に加え，報酬の構造の変化により，獲得できていなかった協力的な行動に繋がる可能性がある．好奇心探索を用いて追跡問題で実験したところ，より多くの獲物を捕まえることができた．

滞在人数の日内変動を考慮した避難計画モデル

山本正也, 武藤敦子, 島孔介, 森山甲一, 松井藤五郎, 犬塚信博

研究報告バイオ情報学（BIO） 2023-BIO-73 ( 25 ) 1 - 5 2023.03

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

近年，地震などの大規模な災害の発生が多く見られ，東日本大震災の際には，昼夜人口のギャップにより容量溢れが多く発生した．そのため，昼夜人口のギャップ（日内変動）を考慮して避難所を割り当てることは重要な課題になっている．避難所割り当て問題において，ゼロサプレス型二分決定グラフ（ZDD）を用いることで避難所割り当てのパターンを全列挙することが可能になっている．ZDD を用いた研究では，避難所までの距離と収容率で評価をしているが，移動経路での滞留は考慮しておらず，避難対象者は常に固定した人数で行っている．そこで本研究では，移動経路での滞留を考慮するためにネットワークフローによるシミュレーション手法での評価を追加し，滞在履歴データを用いて全時間区分で評価を行うことで滞在人数の日内変動を考慮した避難所割り当てを求める手法を提案する．距離・収容率・避難完了時間の 3 つを評価値とし，実環境を用いた実験により効果を確認した．

Evaluation of Employees by Generating Meeting Networks Using Entry and Exit Data Reviewed

Atsuko Mutoh, Kazuma Morikida, Koichi Moriyama, Nobuhiro Inuzuka

Proceedings of 2023 IEEE International Conference on Consumer Electronics (ICCE) 1 - 4 2023.01

Language：English Publishing type：Research paper (international conference proceedings)

Data related to various human movements are available due to the recent development of IoT devices and communication networks, and research on the use of historical data of human movements is being actively performed. In this study, we use log data on employee movement obtained from an entry/exit management system, which has been implemented in many businesses. We propose a method for creating a social network based on employee entry/exit history and observing employee performance. We focus on meeting room-related data from entry/exit data and evaluate employees using meeting network centrality indexes. According to the experimental results, the meeting network's closeness centrality best represents job position, while the meeting network's betweenness centrality best represents employee performance.

DOI： 10.1109/ICCE56470.2023.10043416

Other Link： https://ieeexplore.ieee.org/abstract/document/10043416

Evaluation System for Martial Arts Demonstration from Smartphone Sensor Data Using Deep Neural Networks on Noisy Labels Reviewed International journal

Shohei Yamanaka, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka

Proceedings of 2023 IEEE International Conference on Consumer Electronics (ICCE) 1 - 5 2023.01

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

Smartphones and smartwatches are widespread. Devices have with sensors. Research activities to obtain data from sensors to recognize sports motion and find modifications are on the rise. These studies make it possible to provide movement feedback without a coach. However, a few studies have focused on the correctness of the movement, or which parts of the movement are correct. Herein, we propose a method to evaluate the movements of a martial arts demonstration based on sensor data obtained from a smartphone. In the demonstration, several movements, such as punching and kicking, are performed. The coach considers each movement and evaluates the overall movement comprehensively. Regarding the coach evaluation, we evaluate sensor data by dividing the data and using machine learning. This method was applied to the acceleration data of taekwondo demonstrations. It was shown to reproduce the instructor's score with high accuracy.

DOI： 10.1109/ICCE56470.2023.10043511

Other Link： https://ieeexplore.ieee.org/abstract/document/10043511

Extraction of Behavioral Patterns by Recombining Non-Negative Multiple Matrix Factorization and Clustering Results Reviewed International journal

Shogo Yasui, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, and Nobuhiro Inuzuka

Proceedings of Proceedings of 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021) 2021.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

Evaluation of Martial Arts Demonstration Focusing on Peak Timing Using Acceleration Data Reviewed International journal

Shohei Yamanaka, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, and Nobuhiro Inuzuka

Proceedings of Proceedings of 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021) 2021.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

Classification of Buzzwords by Focusing on Time Trends Using Twitter Data Reviewed International journal

Juno Hashimoto, Atsuko Mutoh, Koichi Moriyama, Azusa Yokogoshi, Eiko Yoshida, Tohgoroh Matsui, and Nobuhiro Inuzuka

Proceedings of Proceedings of 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021) 2021.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

Human motion analysis using expressions of non-separated accelerometer values as character strings Reviewed International journal

Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

Artificial Life and Robotics 26 ( 2 ) 202 - 209 2021.05

Language：English Publishing type：Research paper (scientific journal) Publisher：Springer Japan

People generally perform various activities, such as walking and running. They perform these activities with different motions. For example, walking can be performed with or without swinging shoulders, as well as staggering and swinging arms. We assume that such differences occur based on physical and mental characteristics of humans. To analyze relations between the motions and the characteristics/conditions, it is useful to group humans according to these differences. In a previous work, we proposed a method that successfully grouped humans by analyzing accelerometer data of their bodies in a specific activity with fixed timing and duration. In this study, we tackle with a problem of grouping human in generic, variable-length activities, such as walking and running. We propose a method that detects same motions from the accelerometer data with sliding windows and merges continuous same motions into a motion. The method is robust regarding the difference in timing and duration of the motion. In our conducted experiments, the proposed method classified humans into groups appropriately, the groups which are acquired by the previous method with the same data but without assuming fixed timing and fixed duration, which are assumed in the previous method. The proposed method is robust against temporally noised data generated from the data.

Other Link： https://link.springer.com/article/10.1007/s10015-020-00668-6

Exploration Improvement by Sequential Intrinsic Reward Generator in Deep Reinforcement Learning Reviewed

Kazuhiro Murakami, Koichi Moriyama, Tohgoroh Matsui, Atsuko Mutoh, Nobuhiro Inuzuka

14 ( 1 ) 1 - 11 2021.01

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Information Processing Society of Japan

Deep reinforcement learning is working well in the environment with high dimensional states. However, it is difficult for a reinforcement learning agent to learn an optimal policy in the environment where it hardly obtain rewards. Curiosity-driven exploration is a solution that gives intrinsic rewards to the agent in unfamiliar states to encourage it for visiting various states. This work proposes Sequential Intrinsic Reward Generator (SRG), which extends curiosity-driven exploration to a sequence of states and gives the agent intrinsic rewards for unfamiliar state transitions. Due to this sequential property, SRG is promising to work well also in partially observable Markov decision processes. The result of experiments shows that SRG worked better than other methods in such environments.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=209332&item_no=1

属性情報取得範囲を考慮した友人関係生成モデル Reviewed

泉優多, 武藤敦子, 森山甲一,松井藤五郎, 犬塚信博

電気学会論文誌Ｃ電子情報システム部門誌 140 ( 12 ) 2020.12

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：電気学会

Evolution of Mate-choice Copying Adapted to Environmental Changes Reviewed International journal

Kosuke Ozeki, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, and Nobuhiro Inuzuka

Proc. 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020) 2020.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

A Study on Attributes Based on Heterogeneity of Egos and Surrounding Nodes for Structural Features in Social Networks

Minoru Natsume, Hayato Ishigure, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

37 ( 3 ) 1 - 7 2020.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Other Link： https://jsai.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=10712&item_no=1&page_id=13&block_id=23

A Model for Activating Community Activities by Changing Leaders Using Graph Clustering

Kosuke Hamajima, Atsuko Mutoh, Tohgoroh Matsui, Koichi Moriyama, Nobuhiro Inuzuka

37 ( 4 ) 1 - 8 2020.03

Language：Japanese Publishing type：Research paper (scientific journal)

Activate of community activities plays an important role in solving regional and national problems. In communities such as neighborhood associations, community activities sometimes carry out to enrich lives of members and improve their environment. Participation in community activities is supported by members having rights and responsibilities. However, there are few people who actually participate. That's because nonparticipants can obtain the same benefit with participants. Therefore, nomination of a leader who always participates in the activities and encourages the norm consciousness of the surrounding people is important to activate activities. In this research, we propose a community activity model introduced changes of a leader. We make community activity be activated by changing a leader.

Other Link： https://jsai.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=10713&item_no=1&page_id=13&block_id=23

Analysis of Changes in Behavior Patterns of Workers Using Non-Negative Multiple Matrix Factorization Reviewed International journal

Seidai Kojima, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, and Nobuhiro Inuzuka

proc. The Twenty-Fifth International Symposium on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020.01

Language：English Publishing type：Research paper (scientific journal)

Human Motion Analysis Using Expressions of Non-Separated Accelerometer Values as Character Strings Reviewed International journal

Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, and Nobuhiro Inuzuka

Proc. The Twenty-Fifth International Symposium on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020.01

Language：English Publishing type：Research paper (international conference proceedings)

Simplification of Concept Lattice by Decomposition using Degree of Attribute Relevance Reviewed

2019.12

Language：Japanese Publishing type：Research paper (scientific journal)

An Analysis of the Relationship between Users' Behavior Patterns and Their Attributes Information Using Non-negative Multiple Matrix Factorization and Decision Tree Learning Reviewed

2019.12

Language：Japanese Publishing type：Research paper (scientific journal)

Evaluation of Decomposition Methods for Concept Lattices Based on Implications Reviewed

2019.12

Language：Japanese Publishing type：Research paper (scientific journal)

Evolutionary model of mating time for I. senegalensis by intrasexual competition Reviewed

2019.12

Language：Japanese Publishing type：Research paper (scientific journal)

Safe Reinforcement Learning in Continuous State Spaces Reviewed

Takumi Umemoto, Tohgoroh Matsui, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019) 2019.10

Language：English Publishing type：Research paper (international conference proceedings)

Running Reinforcement Learning Agents on GPU for Many Simulations of Two-Person Simultaneous Games Reviewed International journal

Koichi Moriyama, Yoshiya Kuroki, Atsuko Mutoh, Tohgoroh Matsui, and Nobuhiro Inuzuka

2019.10

Language：English Publishing type：Research paper (international conference proceedings)

Multi-Objective Safe Reinforcement Learning -The Relationship Between Multi-Objective Reinforcement Learning and Safe Reinforcement Learning Reviewed International journal

Naoto Horie, Tohgoroh Matsui, Koichi Moriyama, Atsuko Mutoh, Nobuhiro Inuzuka

24 ( 3 ) 352 - 359 2019.09

Language：English Publishing type：Research paper (scientific journal) Publisher：Springer

Reinforcement learning (RL) is a learning method that learns actions based on trial and error. Recently, multi-objective reinforcement learning (MORL) and safe reinforcement learning (SafeRL) have been studied. The objective of conventional RL is to maximize the expected rewards; however, this may cause a fatal state because safety is not considered. Therefore, RL methods that consider safety during or after learning have been proposed. SafeRL is similar to MORL because it considers two objectives, i.e., maximizing expected rewards and satisfying safety constraints. However, to the best of our knowledge, no study has investigated the relationship between MORL and SafeRL to demonstrate that the SafeRL method can be applied to MORL tasks. This paper combines MORL with SafeRL and proposes a method for Multi-Objective SafeRL (MOSafeRL). We applied the proposed method to resource gathering task, which is a standard task used in MORL test cases.

A Model of Mate-Choice Copying Focusing on Mating Systems Reviewed International journal

Kosuke Ozeki, Atsuko Mutoh, Yutaro Ikai, Koichi Moriyama, Nobuhiro Inuzuka

The Twenty-Fourth International Symposium on Artificial Life and Robotics 2019 (AROB 24th 2019) 2019.01

Language：English Publishing type：Research paper (international conference proceedings) Publisher：The Society of Instrument and Control Engineers

Accelerating Deep Q Network by weighting experiences

Kazuhiro Murakami, Koichi Moriyama, Atsuko Mutoh, Tohgoroh Matsui, Nobuhiro Inuzuka

Lecture Notes in Computer Science (Neural Information Processing. ICONIP 2018) 11301 204 - 213 2018.12

Language：English Publishing type：Research paper (international conference proceedings)

A Friendship Generation Model Considering Affiliations Reviewed International journal

Yuta Izumi, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

Proc. 2018 IEEE 7th Global Conference on Consumer Electronics 304 - 307 2018.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

To motivate the members of an organization, it is important for the manager of the organization to understand the characteristics of changing friendships among the members. There are friendship generation models based on rational and structural choices, but most do not consider affiliations, such as a class at school. In schools, friendships change after a class has changed. This paper proposes a friendship generation model considering affiliations based on structural choice. Simulations show that if the model has a strong influence of affiliations, the model better matches the actual changes of friendship.

DOI： 10.1109/GCCE.2018.8574824

Other Link： https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8574824

成功確率と収益を目的とした多目的強化学習 Reviewed

堀江　直人，松井　藤五郎，森山　甲一，武藤　敦子，犬塚　信博

合同エージェントワークショップ＆シンポジウム2017 (JAWS2017)論文集 2017.09

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

加速度データの文字列表現に基づく行動中の動き方に着目した人のグループ分け

島孔介, 森山甲一, 武藤敦子, 犬塚信博

情報処理学会論文誌数理モデル化と応用（TOM） 10 ( 2 ) 51 - 58 2017.07

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：情報処理学会

人間の行動には，たとえば歩行には移動など目的に応じた動き方と，肩をゆするなど目的とは関係のない動きの双方がある．目的とは関係のない動き方が世代や文化などに基づいているならば，類似した動き方に基づいてグループを発見することで，人の動き方から人の持つ世代のような属性と動き方の関係を分析することができる．そこで本研究では，行動の中に異なる動き方のグループが存在することを確かめるため，手先の加速度データを用いて人のグループ分けを行う手法を提案する．本研究では人間の行動として，あらかじめ基本的な動き方が決められているラジオ体操を取り上げて分析を行い，決められた動き方の中にグループができることを確認した．

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=182735&file_id=1&file_no=1

The resilience of cooperation in a dilemma game played by reinforcement learning agents Reviewed International journal

Koichi Moriyama, Kaori Nakase, Atsuko Mutoh, and Nobuhiro Inuzuka

Proceeding of the 2nd IEEE International Conference on Agents 2017.07

Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/AGENTS.2017.8015297

Effects of Grouping on Friendships and Group Composition Reviewed International journal

Atsuko Mutoh, Kouta Aratani, Miwa Sakata,Nobuhiro Inuzuka

The 2016 Conference on Technologies and Applications of Articial Intelligence 2016.11

Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

A model of friendship networks based on social network analysis Reviewed International journal

Atsuko Mutoh, Yuta Imura, Ryumaru Kato, Tohgoroh Matsui, Nobuhiro Inuzuka

Artificial Life and Robotics 21 ( 2 ) 1 - 6 2016.04

Language：English Publishing type：Research paper (scientific journal) Publisher：Springer Japan

It is important for teachers to understand the characteristics of forming and changing of friendship networks to manage their classes effectively. Many studies have analyzed friendship networks using agent-based models. Most of the models used were designed for capturing basic phenomena in a micro-viewpoint. The purpose of our study is to simulate actual friendship networks. In this paper, we present an agent-based friendship-network model based on our analysis of friendship networks among university students. We focused on Hiramatsu's model based on a cost-benefit analysis and modified the model with the aim of closing to the actual friendship. With our modified model, the benefit function was based on their cluster structure. The results with the modified model better matched the actual friendship networks. The clique size in the modified model approached that in the actual friendship networks, and the values of several network properties approached those of the actual friendship networks.

Other Link： http://link.springer.com/article/10.1007%2Fs10015-016-0275-8

A study of distance between formal concepts for deduction of formal concepts lattice

Taiki Teramachi, Hayato Ishigure, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

Proceedings of the 78th National Convention of IPSJ 1 445 - 446 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Analysis of time transition of communities using friendship networks

Yusuke Miki, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

Proceedings of the 78th National Convention of IPSJ 1 303 - 304 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Agent-based model for frequency-dependent selection of Ischnura senegalensis

Junpei Fujino, Atsuko Mutoh, Shohei Kato, Koichi Moriyama, Nobuhiro Inuzuka

Proceedings of the 78th National Convention of IPSJ 1 295 - 296 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Analysis of Characteristic Motions of Radio Gymnastic Exercises and their Relations

2016-ICS-183 ( 20 ) 1 - 7 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=158046&item_no=1

Friendship Formation and Transition by Group Activity

Kouta Aratani, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka

IPSJ SIG Technical Reports 2016-MPS-107 2016-MPS-107 ( 8 ) 1 - 6 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Other Link： http://id.nii.ac.jp/1001/00157886/

ネットワーク構造を導入したコミュニティ活動モデル

甲村啓伍, 武藤敦子, 松井藤五郎, 森山甲一, 犬塚信博

情報処理学会第107回数理モデル化と問題解決研究会研究報告 (2016-MPS-107) 2016-MPS-107 ( 9 ) 1 - 6 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

コミュニティ活動とは防災や環境美化等のための市民活動であり，地域の発展に重要である．人々の結びつきや「タダ乗り」等の社会現象との関係を解明する必要がある．山田ら [1] は個人の内面的動機と周囲の影響をモデル化したコミュニティ活動形成モデルを提案したが，人々のつながりの多様性をモデル化できていない．本研究はネットワークモデルを導入したモデルを提案する．それにより，ネットワークの特徴と活動の関係，中心性の高い人物の影響について観察する．実験結果より，ネットワークが持つクラスター係数や平均次数がコミュニティ活動の活性化に影響することを示した．また，ネットワーク内の個々の要素の影響によって，コミュニティ活動の活性化に違いがあることの可能性を示唆した．

Other Link： http://id.nii.ac.jp/1001/00157887/

友人関係ネットワークの変化に対応した関係構築中心性の提案

菅田貞治, 武藤敦子, 森山甲一, 坂田美和, 犬塚信博

情報処理学会第107回数理モデル化と問題解決研究会研究報告 (2016-MPS-107) 2016-MPS-107 ( 16 ) 1 - 6 2016.03

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

友人関係は生成変化する中で，その変化に貢献する個人が存在すると考えられる．本研究は友人関係ネットワークの変化の中でも関係の発生に着目し，新しく成立した関係に対してその要因を 2 種類に分類し，それぞれに基づいた評価値を提案する．この評価値は関係を構築する能力と関連する社会的属性と関係しており，関係構築中心性と見なすことができる．実験では提案した値が実際に個人の能力や性格を反映しているのかを確かめるために現実の友人関係ネットワーク (大学生 341人，4 か月) と人格適応論を参考にした自身の性格についてのアンケートの回答との間の相関を統計に基づいた検定によって調べた．その結果，アンケート内のいくつかの設問に対する回答において有意な関連性が見られた．

Other Link： http://id.nii.ac.jp/1001/00157894/

Simulation of influence of network structure on community activity

Keigo Komura, Atsuko Mutoh, Tohgoroh Matsui, Koichi Moriyama, Nobuhiro Inuzuka

1 - 4 2015.12

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Concept Lattice Reduction Using Attribute Inference Reviewed

Hayato Ishigure, Atsuko Mutoh, Tohgoroh Matsui, Nobuhiro Inuzuka

Proceedings of 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE) 108 - 111 2015.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

Formal Concept Analysis (FCA) Is a data analysis method and it outputs a concept structure called a concept lattice. One of the problems of FCA is that the size of a concept lattice becomes far larger as data become larger. Various methods for reducing a concept lattice have been proposed, but they have disadvantage, e.g. reduced one is not a lattice. In this paper, we propose a method for reduction using attribute inference based on an approximate implication. We also evaluated some methods regarding that a reduced lattice has noise.

DOI： 10.1109/GCCE.2015.7398625

Other Link： http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7398625&tag=1

Phyletic Model for Evaluating Phylogenetic Tree Estimation Reviewed

Ryosuke Enosawa, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings of 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE) 404 - 407 2015.10

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

In the field of phylogenetics, a range of methods have been proposed for estimating phyletic trees and cladograms. However, it is not yet clear whether these methods work with real phyletic relationships. To give a foundation to evaluate these methods, we propose a phyletic model to generate various phyletic relationships in this paper. In experiments, we generated various phyletic relationships by the proposed model and evaluated an existing estimation method.

DOI： 10.1109/GCCE.2015.7398622

Other Link： http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7398622

Estimation of Phyletic Trees from Cladograms and Birth Orders Reviewed International journal

Atsuko Mutoh, Shogo Ota, Ryosuke Enosawa, Nobuhiro Inuzuka

Procedia Computer Science (Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings) 60 824 - 833 2015.09

Language：English Publishing type：Research paper (international conference proceedings) Publisher：Elsevier

The purpose of computational phylogenetics is to assemble a branching diagram or tree that represents a hypothesis regarding the evolutionary relationships of an entity set. Phyletic trees and cladograms are well-known methods for expressing phyletic relationships. Although many estimating methods for cladograms have been proposed, few studies have examined automatic estimation of phyletic trees because, in our opinion, most biological entities do not have birth year information. On the other hand, targets in cultural phylogenetics may have birth year information. Therefore, we propose a method to estimate phyletic trees for cultural phylogenetics using estimated cladograms and birth order information. First, we define necessary conditions for estimating phyletic trees from cladograms and birth order. We then propose an algorithm for estimating phyletic trees that satisfy these conditions. We demonstrate that the phyletic trees estimated by the proposed algorithm satisfy the defined conditions. Our experimental results show that the proposed estimation method obtained approximately 70% estimation accuracy for some targets.

DOI： 10.1016/j.procs.2015.08.245

Other Link： http://www.sciencedirect.com/science/article/pii/S1877050915023728

Clustering Mutual Funds Based on Investment Similarity Reviewed International journal

Takumasa Sakakibara, Tohgoroh Matsui, Atsuko Mutoh,Nobuhiro Inuzuka

Procedia Computer Science (Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings) 60 881 - 890 2015.09

Language：English Publishing type：Research paper (international conference proceedings) Publisher：Elsevier

It is risky to invest to single or similar mutual funds because the variance of the return becomes large. Mutual funds are categorized based on the investment strategy by a company that rated funds based on performance, but the fund categories are different from its actual operations. While some previous studies have proposed methods to cluster mutual funds based on the historical performances, we cannot apply these methods to new mutual funds. In this paper, we clusters mutual funds based on the investment similarity instead of the historical performances. The contributions of this paper are: 1. To propose two new methods for classifying mutual funds based on the investment similarity, 2. To evaluate the proposed methods based on actual 551 Japanese mutual funds.

DOI： 10.1016/j.procs.2015.08.251

Other Link： http://www.sciencedirect.com/science/article/pii/S1877050915023789

Transition of Local Structures of Friendship Networks Reviewed International journal

Tatsuki Ito, Sadaharu Sugata, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings of 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence (ACIT-CSI), 2015 334 - 338 2015.07

Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

Systematically collected class attendance records of students in university let us possible to observe friendship networks among students through time. With the friendship networks observed by this method we study local structures, which are called ego-centric networks, of friendship networks and transition of the structures. In order to observe transition of egocentric networks we classify them to clusters. For classification we examine a top-down cluster model, in which we define clusters based on social characters, and a hierarchical clustering method using structural attributes for ego-centric networks. The two methods are applied to real friendship networks that we observed for seven years and we see some observation about friendship transition. From our experiments the top-down model gives understandable transition of friendship structure. We can observe the process of growing friendship of students. The observation will be a promising approach to a computational analysis of construction of social roles in community.

DOI： 10.1109/ACIT-CSI.2015.65

Other Link： http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7336084&tag=1

個人に注目した友人ネットワークの分類と属性の相関に関する分析

菅田貞治,武藤敦子,犬塚信博

情報処理学会第７７回全国大会論文集 77 ( 6ZF-01 ) 2015.03

Language：Japanese Publishing type：Research paper (other academic)

本研究では大学生の友人関係ネットワークに注目し、個人とその友人のみから構成される局所的ネットワークであるエゴセントリックネットワークの構造的特徴に基づいて個人を分類した。そして代表的なネットワークモデルと比較したところ友人関係ネットワークは特有の分類結果であること、また学生の所属学科によって分類結果に差があることが明らかとなった。次にアンケートによって得られた学生の社会的属性と分類結果との相関について調べたところ、いくつかの組で有意な関連性が見られた。最後に友人生成に大きく関わった人物をネットワーク構造より推定する事で、その後の分類されるクラスタが予想できる可能性を示した。

実データへの適合を目指した友人関係ネットワークモデルの構築

井村祐太,武藤敦子,松井藤五郎,犬塚信博

情報処理学会第７７回全国大会論文集 77 ( 1M-05 ) 2015.03

Authorship：Lead author Language：Japanese Publishing type：Research paper (other academic)

社会集団の理解のため友人関係は広く研究対象とされてきた。本研究は、友人関係形成のモデルを用いてより実際の友人関係に近いネットワーク構造を作り出すことで、教育現場における教師の適切な学級運営の支援となるようなシミュレーション構築を目指す。友人関係形成のモデルには合理的選択と構造的選択を組み合わせたモデルを提案する。実データには友人関係推定手法を用いて作成した大学生の友人関係ネットワークおよびアンケート結果を用いる。提案モデルによるシミュレーションと実データのネットワーク構造の変化過程が近づくようにパラメータを調整しその挙動を観察することで、友人関係の変化に対して重要となる要素を探る。

形式概念間の関係に基づく属性推定を利用した概念束の簡素化

石榑隼人,武藤敦子,松井藤五郎,犬塚信博

情報処理学会第７７回全国大会論文集 77 ( 2R-05 ) 2015.03

Language：Japanese Publishing type：Research paper (other academic)

形式概念分析は、概念データを思考単位として、概念構造の明確化や事象の分析、データ可視化及びデータ依存関係などを明らかにするデータ解析手法である。形式概念分析では、概念が束構造を成すため、概念構造を図示により可視化することができる。しかしデータの増大に伴い、形式概念の数が急速に増大するため、概念構造の理解が難しくなる。したがって、概念構造の理解を容易にするために、形式概念の数を小さくして、概念束の簡素化を行う必要がある。本研究では、形式概念間の関係に基づく属性推定を利用して、概念束の簡素化を行う手法を提案する。

ネットワークパターンマイニングにおける包摂関係を用いたアルゴリズムの改善

鷲見俊貴,武藤敦子,犬塚信博

情報処理学会研究報告 ICS-179 ( 5 ) 1 - 6 2015.03

Language：Japanese Publishing type：Research paper (other academic)

述語論理上で帰納推論を展開するアプローチであり,さまざまな分類問題を解決することができる ILP (帰納論理プログラミング) がある.ILP によるパターンマイニングのひとつとして花火節を用いたパターンマイニングがある.これはネットワークのあるノードと隣接するノードの集合から導出される誘導部分グラフであるエゴセントリックネットワークを連結してパターンを生成しパターンマイニングを行っていくものである.しかし,パターンの生成される段階で頻出でない多くの候補パターンが生成される問題があった.生成される候補パターンはエゴネットを連結して生成しているため互いに包摂関係になっていることが多い.そこで包摂関係を用いてアルゴリズム内でのネットワークのマッチング回数を減らす方法を提案する.

Application of inductive logic programming to produce emergent behavior in an artificial society Reviewed

Keigo Komura, Atsuko Mutoh, Nobuhiro Inuzuka

Proceefings of IIAI International Conference on Advanced Applied Informatics 942 - 947 2014.08

Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

Artificial society is a discipline to study mechanisms of social system and phenomena which the mechanisms make. Emergence is global phenomena occurred by local mechanisms, such as, by collective behavior of autonomous agents. Understanding of emergence phenomena is a challenging subject. In this paper we use the framework of inductive logic programming (ILP) for artificial society and emergence behavior study. ILP is a branch of machine learning based on logic programming and inductive inference. We investigate the possibility of ILP in artificial society study. ILP and logic programming technique are applied to representation of an artificial society model, called Sugarscape, and to rule learning for agent behavior. Although classical ILP algorithms target classification problems, the proposed algorithm grows behavior rule for an evaluation measurement. Phenomena which this paper treate is limited but we showed that ILP technique can be applied to study in the field of artificial society.

Analysis of Investment Trusts Using Spectral Clustering

Takumasa Sakakibara, Tohgoroh Matsui, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings pf The 28th Annual Conference of the Japanese Society for Articial Intelligence 28 ( 3L3-OS-26a-5 ) 1 - 4 2014.05

Authorship：Lead author Language：Japanese Publishing type：Research paper (other academic)

個人に注目した社会ネットワークの分析に関する研究

菅田貞治,伊東樹希,武藤敦子,犬塚信博

教育学習支援情報システム（CLE）研究報告 2014-CLE-13 ( 2 ) 1 - 7 2014.05

Authorship：Lead author Language：Japanese Publishing type：Research paper (other academic)

本研究では出欠データから生成される友人ネットワークに注目し、時系列を伴って変化する局所的友人関係を分析した。まず、個人とその友人のみから構成される局所的ネットワークであるエゴセントリックネットワークの構造的特徴に基づいて個人を分類し、代表的なネットワークモデルと比較したところ友人ネットワークは特有の分類結果である事が示された。次にクラスタ間の時間的遷移を調べる事で学生は友人同士の結びつきが強固になる傾向が強い事が確認できた。また、友人生成に大きく関わった人物をネットワーク構造より推定する事で、その後の分類されるクラスタが予想できる可能性を示した。

A Method of Social Network Analysis Using Formal Concept Analysis and Ego-Centric Networks Reviewed

Hiroki Hayashi, Tatsuki Itou, Noriaki Nishio, Atuko Mutoh, Nobuhiro Inuzuka

Journal of the Japanese Society of Artificial Intelligence 29 ( 1 ) 177 - 181 2014.01

Authorship：Lead author Language：Japanese Publishing type：Research paper (scientific journal)

DOI： http://dx.doi.org/10.1527/tjsai.29.177

Other Link： https://www.jstage.jst.go.jp/article/tjsai/29/1/29_A-TS13_5/_article/-char/ja/

Multi-Relational Pattern Mining in Open-Ended Object Domains Reviewed

Noriaki Nishio and Nobuhiro Inuzuka

Proceedings of the 23rd International Conference on Inductive Logic Programming 2013.08

Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

Grouping Methods for Generating Friendship Based on Network Properties Reviewed

Ryumaru Kato, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings of 14th ACIS International Conference on Software Engineering 438 - 443 2013.07

Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

Representation, Analysis and Processing of Student Counseling Cases Reviewed

Naotaka Oda, Aya Nishimura, Takuya Seko, Atsuko Mutoh, Nobuhiro Inuzuka

Studies in Computational Intelligence 492 203 - 217 2013.07

Language：English Publishing type：Research paper (scientific journal)

変化する人間関係ネットワークに注目した学生相談事例間の類似度

世古拓也, 小田尚宜, 武藤敦子, 犬塚信博

第27回人工知能学会全国大会論文集 27 1D4-2 2013.06

Language：Japanese Publishing type：Research paper (other academic)

学生相談を人間関係の構造と変化から分析するため、学生相談に現れる人間関係を客観的にとらえるための方法を検討した。関係に客観的に付与可能な属性を与えることで、客観的に分析できることをいくつかの事例で示した。

エゴセントリックネットワークと形式概念分析を利用した社会ネットワーク分析の手法の提案

林宏紀, 伊東樹希, 西尾典晃, 武藤敦子, 犬塚信博

第27回　人工知能学会全国大会論文集 27 2C1-3 2013.06

Language：Japanese Publishing type：Research paper (other academic)

社会ネットワーク等の複雑ネットワークを、形式概念分析の方法で分析する方法を与えた。社会ネットワークの各、ノード（個人）に対して、その周辺の構造を特徴として捉え、その特徴と個人の対応関係から形跡文脈を構成して分析する。得られた形式概念に対して、社会的特徴を統計的に有意に有するものを検討した。

On Computing Minimal Generators in Multi-Relational Data Mining with respect to theta-Subsumption Reviewed

Noriaki Nishio, Atsuko Mutoh, Nobuhiro Inuzuka

CEUR Workshop Proceedings (Late Breaking Papers of 22nd Inductive Logic Programming Conference) 2012.09

Language：English Publishing type：Research paper (international conference proceedings)

Other Link： http://ceur-ws.org/Vol-975/paper-05.pdf

Ontology of Human Relationships - An Approach to Computer-Aided Student Counseling Reviewed

Tomoyuki Katayama, Naotaka Oda, Atsuko Mutoh, Nobuhiro Inuzuka

Frontiers in Artificial Intelligence and Applications 243 1788 - 1796 2012.09

Language：English Publishing type：Research paper (scientific journal)

The optimal tolerance of uniform observation error for mobile robot convergence Reviewed

Kenta Yamamoto, Taisuke Izumi, Yoshiaki Katayama, Nobuhiro Inuzuka, Koichi Wada

Theoretical Computer Science 444 77 - 86 2012.07

Language：English Publishing type：Research paper (scientific journal)

DOI： 10.1016/j.tcs.2012.04.038

Other Link： http://www.sciencedirect.com/science/article/pii/S0304397512004033

Evolution of Friendship Networks and Transition of Their Properties Reviewed

Hiroshi Matsushima, Nobuhiro Inuzuka

Smart Innovation, Systems and Technologies (Intelligent Decision Technologies) 16 303 - 312 2012.05

Language：English Publishing type：Research paper (other academic)

DOI： 10.1007/978-3-642-29920-9_31

Local network clustering method using transitivity

Hiroshi Matsushima, Ryumaru Kato, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings of the 74th National Convension of IPSJ 74 ( 1 ) 469 - 470 2012.03

Language：Japanese Publishing type：Research paper (other academic)

A Consideration on Efficiency of Multi-Relational Pattern Mining Method Based-on Basic Patterns

Yusuke Nakano, Nobuhiro Inuzuka

Peoceedings of the 74th National Convention of IPSJ 2 561 - 562 2012.03

Authorship：Lead author Language：Japanese Publishing type：Research paper (other academic)

A classication of the ego by analysis of an egocentric network

Tatsuki Itouy, Ryumaru Kato, Hiroshi Matsushima, Nobuhiro Inuzuka, Atsuko Muto

4 217 - 218 2012.03

Language：Japanese Publishing type：Research paper (other academic)

DOI： Tatsuki Itouy, Ryumaru Kato, Hiroshi Matsushima, Nobuhiro Inuzuka, Atsuko Muto

On Computing Minimal Generators in Multi-Relational Data Mining with respect to theta-subsumption

Noriaki Nishio, Atsuko Mutoh, Nobuhiro Inuzuka

Proceedings of the 74th National Convention of IPSJ 2 569 - 570 2012.03

Language：Japanese Publishing type：Research paper (other academic)

The Gathering Problem for Two Oblivious Robots with Unreliable Compasses Reviewed

Taisuke Izumi, Samia Souissi, Yoshiaki Katayama, Nobuhiro Inuzuka, Xavier Défago, Koichi Wada, Masafumi Yamashita

SIAM Journal on Computing 41 ( 1 ) 26 - 46 2012.02

Language：English Publishing type：Research paper (scientific journal)

Pattern Mining on Ego-Centric Networks of Friendship Networks Reviewed

Nobuhiro Inuzuka, Shin Takeuchi, Hiroshi Matsushima

Lecture Notes in Computer Science 6884 89 - 97 2011.09

Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)

Multi-Relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in Examples Reviewed

Yusuke Nakano, Nobuhiro Inuzuka

Lecture Notes in Artificial Intelligence 6489 181 - 189 2011.07

Language：English Publishing type：Research paper (scientific journal)

A Multi-Relational Pattern Mining Method Based-on Properties Extinguished from Samples and Comparison with Others

Yusuke Nakanao, Nobuhiro Inuzuka

Proceedings of the 73rd Natinal Convention of IPSJ 73 2011.03

Language：English Publishing type：Research paper (other academic)

Pattern Mining of Egocentric Networks

Shin Takeuchi

Proceedings of the 73rd Natinal Convention of IPSJ 73 2011.03

Language：Japanese Publishing type：Research paper (other academic)

Multi-Relational Data Mining Using Basic Patterns Extracted from Sampled Examples and Their Structural Combinations

Yusuke Nakano, Nobuhiro Inuzuka

Proceedings of 8th Workshop on Informatics 8 289 - 294 2010.12

Language：Japanese Publishing type：Research paper (other academic)

学生の出欠記録による友人関係推測手法を用いたネットワーク分析

松島裕, 犬塚信博

第８回情報学ワークショップ論文集 8 2010.12

Language：Japanese Publishing type：Research paper (other academic)

Multi-Relational Pattern Mining System for General Database Systems Reviewed

Nobuhiro Inuzuka, Toshiyuki Makino

Lecture Notes in Computer Science (Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010) 6278 72 - 80 2010.09

Language：English Publishing type：Research paper (scientific journal)

Expression of Fashion in Female Preferences for a Mate by Conformity and Differentiation Genes Reviewed

Atsuko Mutoh, Shohei Kato, Nobuhiro Inuzuka, Hidenori Itoh

Proceedings of The 12th International Conference on the Synthesis and Simulation of Living Systems (ALife XII) 846 - 851 2010.08

Language：English Publishing type：Research paper (scientific journal)

Grouping People by Differences in Motions Based on String Representation of Accelerometer Values Reviewed

Kousuke Shima, Koichi Moriyama, Atsuko Motoh, Nobuhiro Inuzuka

10 ( 2 ) 51 - 58 2010.07

Language：Japanese Publishing type：Research paper (scientific journal)

Human motions have two types: purpose-related and purpose-unrelated ones. For example, in walking, we have to move our legs alternately but do not have to sway our shoulder as some people do. If the purpose-unrelated motions are different based on some properties like genelational and cultural backgrounds, we can categorize people according to such properties by finding groups in which they have similar motions. Categorizing people according to motion enables us to develop some additional services by observing usual activities. In this work, we propose a method to group people by using string representation of accelerometer values of moving hands. We investigate human motions in radio gymnastic exercises in which principal motions are predetermined and show that this proposal is able to find the groups from minor differences in motions.

Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=182735&item_no=1&page_id=13&block_id=8

Implementing Multi-relational Mining with Relational Database Systems Reviewed

Toshiyuki Makino, Nobuhiro Inuzuka

Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (WKDD) 502 - 505 2010.02

Language：English Publishing type：Research paper (international conference proceedings)

Convergence of Mobile Robots with Uniformly-Inaccurate Sensors Reviewed

Kenta Yamamoto, Taisuke Izumi, Yoshiaki Katayama, Nobuhiro Inuzuka, Koichi Wada

Lecture Notes in Computer Science (Structural Information and Communication Complexity, 16th International Colloquium, SIROCCO 2009) 5869 309 - 322 2009.05

Language：English Publishing type：Research paper (scientific journal)

Other Link： http://www.springerlink.com/content/62r3718866h15w31/

Implementing Multi-relational Mining with Relational Database Systems Reviewed

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Systems) 5712 2009.04

Language：English Publishing type：Research paper (scientific journal)

Analysis of Asymmetric Friendship among Students from Class Attendance Records Reviewed

Nobuhiro Inuzuka, Toshitaka Kondo, Shuhei Yamamoto

New Advances in Intelligent Decision Technologies 393 - 403 2009.04

Language：English Publishing type：Research paper (other academic)

Gathering Problem of Two Asynchronous Mobile Robots with Semi-dynamic Compasses Reviewed

Nobuhiro Inuzuka, Yuichi Tomida, Taisuke Izumi, Yoshiaki Katayama, Koichi Wada

Lecture Note in Computer Science (Structural Information and Communication Complexity) 5058 2008.04

Language：English Publishing type：Research paper (scientific journal)

Friendship Analysis Using Attendance Records to University Lecture Classes Reviewed

Nobuhiro Inuzuka, Tomofumi Nakano and Kosaku Shimomura

Proceedings of IASK International Conference on Teaching and Learning (TL2008) 478 - 486 2008.04

Language：English Publishing type：Research paper (international conference proceedings)

Control of Hypothesis Space Using Meta-knowledge in Inductive Learning Reviewed

Nobuhiro Inuzuka, Hiroyuki Ishida, Tomofumi Nakano

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Systems) 5178 2008.04

Language：English Publishing type：Research paper (scientific journal)

Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from Samples Reviewed

Nobuhiro Inuzuka, Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano

Lecture Notes in Artificial Intelligence (Advances in Knowledge Discovery and Data Mining) 5012 2008.04

Language：English Publishing type：Research paper (scientific journal)

Gathering Autonomous Mobile Robots with Dynamic Compasses: An Optimal Result Reviewed

Taisuke Izumi, Yoshiaki Katayama, Nobuhiro Inuzuka, Koichi Wada

Lecture Note in Computer Science (Distributed Computing) 4731 298 - 312 2007.04

Language：English Publishing type：Research paper (scientific journal)

Dynamic Compass Models and Gathering Algorithms for Autonomous Mobile Robots Reviewed

Yoshiaki Katayama, Yuichi Tomida, Hiroyuki Imazu, Nobuhiro Inuzuka, Koichi Wada

Lecture Note in Computer Science (Structural Information and Communication Complexity) 4474 274 - 288 2007.04

Language：English Publishing type：Research paper (scientific journal)

A Unified Approach to Web Usage Mining Based on Frequent Sequence Mining Reviewed

Nobuhiro Inuzuka, Jun-ichi Hayakawa

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Systems) 4693 987 - 994 2007.04

Language：English Publishing type：Research paper (scientific journal)

Solving Selection Problem Combining Relational Learning and Bayesian Learning Reviewed

Tomofumi Nakano, Nobuhiro Inuzuka

International Journal of Knowledge-based and Intelligent Engineering Systems 11 ( 1 ) 33 - 45 2007.04

Language：English Publishing type：Research paper (scientific journal)

A Mining Algorithm Using Property Items Extracted from Sampled Examples Reviewed

Jun-ichi Motoyama, Nobuhiro Inuzuka, Tomofumi Nakano

Lecture Notes in Artificial Intelligence (Inductive Logic Programming) 4455 335 - 350 2006.04

Language：English Publishing type：Research paper (scientific journal)

Relational Association Mining Based on Structural Analysis of Saturation Clauses Reviewed

Nobuhiro Inuzuka, Jun-ichi Motoyama, Tomofumi Nakano

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Systems) 4252 1162 - 1169 2006.04

Language：English Publishing type：Research paper (scientific journal)

Organizing Documents Based on Standard-Example Split Test Reviewed

Kenta Fukuoka, Tomofumi Nakano, Nobuhiro Inuzuka

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Systems) 3681 787 - 793 2005.04

Language：English Publishing type：Research paper (scientific journal)

A Cooperative Model of Rescue Agents by a Group Forming Algorithm Reviewed

Nobuhiro Ito, Yoshiki Asai, Tetsuya Esaki, Nobuhiro Inuzuka, Koichi Wada

Transactions of the Society of Instrument and Control Engineers 41 ( 12 ) 964 - 973 2005.04

Language：Japanese Publishing type：Research paper (scientific journal)

A Pattern Formation Algorithm for Distributed Autonomous Robots without Agreements on Axis Orientation Reviewed

Nobutake Yamanaka, Nobuhiro Ito, Yoshiaki Katayama, Nobuhiro Inuzuka, Koichi Wada

The IEICE Transaction on Information and Systems, D-I J88-D-I ( 4 ) 739 - 750 2005.04

Language：Japanese Publishing type：Research paper (scientific journal)

Probabilistic Truth Estimation of Ground Conjunctive Queries for Multi-Relational Databases with Missing Records Reviewed

Yoshinobu Ito, Nobuhiro Inuzuka, Hirohisa Seki

Proceedings of ACIS International Conference on Software Engineering Research and Applications 23 - 29 2004.04

Language：English Publishing type：Research paper (international conference proceedings)

Siimilarity of Documents Using Reconfiguration of Thesaurus Reviewed

Tomoya Ogawa, Nobuhiro Inuzuka

Lecture Notes in Artificial Intelligence (Knowledge-Based Intelligent Information and Engineering Sytems) 3214 95 - 102 2004.04

Language：English Publishing type：Research paper (scientific journal)

A Pattern Formation Algorithm for Autonomous Distributed Robots with Agreement on One Orientation Reviewed

Masao Kasuya, Nobuhiro Ito, Nobuhiro Inuzuka, Koichi Wada

The IEICE Transaction on Information and Systems, D-I J87-D-I ( 7 ) 747 - 757 2004.04

Language：Japanese Publishing type：Research paper (scientific journal)

On-line profit sharing works efficiently Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Lecture Notes in Artigicial Intelligence (Knowledge-Based Intelligence Information and Engineering Systems),Proceedings of seventh international conference on Knowledge-Based Intelligent In formation & Engineering Systems (KES2003) 2774 317 - 324 2003.04

Language：English Publishing type：Research paper (scientific journal)

An EM Algorithm for Cleaning of Answers Generated by an E-Learning System Reviewed

Tomofumi Nakano, Yukie Koyama, Nobuhiro Inuzuka, Chikako Matsuura

Language：English Publishing type：Research paper (scientific journal)

Reinforcement learning methods to handle actions with differing costs in MDPs Reviewed

Takahisa Ishiguro, Tohgoroh Matsui, Nobuhiro Inuzuka, Koichi Wada

Language：English Publishing type：Research paper (scientific journal)

MAP Classification with a Similarity Measure Reviewed

Yasuhiro Yamada, Nobuhiro Inuzuka, Hirohisa Seki

Proceedings of The IASTED International Conference on Artificial and Computational Intelligence (ACI 2002) 2002.04

Language：English Publishing type：Research paper (international conference proceedings)

MAP Classification based on paired class learning accuracy Reviewed

Tomofumi Nakano, Nobuhiro Inuzuka

Proceedings of International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2002) 754 - 758 2002.04

Language：English Publishing type：Research paper (international conference proceedings)

A comparison of three methods for parallelizing an ILP algorithm FOIL Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Transactions of the Institute of Electronics, Information and Communication Engineers D-I J85-D-1 ( 6 ) 566 - 568 2002.04

Language：Japanese Publishing type：Research paper (scientific journal)

Feature selection for effective calculation of a similarity measure Reviewed

Tomoya Ogawa, Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Proceedings of The IASTED International Conference on Artificial and Computational Intelligence (ACI 2002) 47 - 54 2002.04

Language：English Publishing type：Research paper (international conference proceedings)

Bayesian preference learning for multiclass problems Reviewed

Tomofumi Nakano, Kikuo Emoto, Nobuhiro Inuzuka

Proceedings of The IASTED International Conference on Artificial and Computational Intelligence (ACI2002) 167 - 172 2002.04

Language：English Publishing type：Research paper (international conference proceedings)

Adapting to subsequent changes of environment by learning policy preconditions Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

International Journal of Computer & Information Science 3 ( 1 ) 49 - 58 2002.04

Language：English Publishing type：Research paper (scientific journal)

Using Concept Learning for Restructuring Control Policy in Reinforcement Learning Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Journal of Japanese Society for Artificial Intelligence 17 ( 2 ) 135 - 144 2002.04

Language：Japanese Publishing type：Research paper (scientific journal)

Learning Preconditions for Control Policies in Reinforcement Learning Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Proceedings of the ACIS 2nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 47 - 54 2001.04

Language：English Publishing type：Research paper (international conference proceedings)

A Distributed Object System with Object Extension Framework Reviewed

Yohei Yamaguchi, Nobuhiro Inuzuka

Proceedings of the ACIS 2nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 871 - 878 2001.04

Language：English Publishing type：Research paper (international conference proceedings)

A food chain model using APPLY crossover of n-output Binary Decision Diagram Reviewed

Atsuko Mutoh, Susumu Ono, Kosuke Moriwaki, Nobuhiro Inuzuka, Hidenori Itoh

The Transactions of the Institute of Electrical Engineering of Japan 121-C ( 2 ) 423 - 429 2001.04

Language：Japanese Publishing type：Research paper (scientific journal)

Adaptive behavior by inductive prediction in soccer agents Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Lecture Notes in Artificial Intelligence, Springer-Verlag (PRICAI 2001, Topics in Artificial Intelligence) 1886 807 - 807 2000.04

Language：English Publishing type：Research paper (scientific journal)

A proposal for inductive learning agent using first-order logic Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki

Proceedings of 10th International Conference of Inductive Logic Programming, Workis in Progress 180 - 193 2000.04

Language：English Publishing type：Research paper (international conference proceedings)

Pruning nodes in the alpha-betamethod using inductive logic programming Reviewed

Nobuhiro Inuzuka, Hayato Fujimoto, Tomofumi Nakano, Hidenori Ito

Proceedings of the ICML99 Workshop : Machine Learning in Game Playing, Regular Paper 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Producing GA Chromosomes for System Identification with Time Saving Reviewed

Ahmed Ezzat, Nobuhiro Inuzuka, Hidenori Itoh

Proceedings of the IASTEAD International Conference on Artificial Intelligence and Soft Computing. Honolulu, USA 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Learning robot control by relational concept induction with iteratively collected examples Reviewed

Nobuhiro Inuzuka, Taichi Onda, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Advances in Robot Learning - 8th European Workshop on Learning Robots) 1812 71 - 83 1999.04

Language：English Publishing type：Research paper (scientific journal)

Evolving cooperative actions among heterogeneous agents by an evolutionary programming method Reviewed

Takayuki Fujinaga, Kosuke Moriwaki, Nobuhiro Inuzuka, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Simulated Evolution and Learning - Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Selected Papers) 1585 231 - 239 1999.04

Language：English Publishing type：Research paper (scientific journal)

Evolutionary cooperative interactions between competitive agents Reviewed

Tin Tin Naing, Nobuhiro Inuzuka, Hidenori Itoh

Proceedings of the 3rd Australian Commonsense Reasoning Workshop 103 - 113 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Evolution of game strategy for agents in dilemma situations Reviewed

Tin Tin Naing, Nobuhiro Inuzuka, Hidenori Itoh

Proceedings of the 2nd Asia-Pacific Conference on Industrial Engineering and Management Systems 473 - 476 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Efficient induction of executable logic programs from examples Reviewed

Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Computer Science (Advances in Computing Science - ASIAN'97, Third Asian Computing Science Conference) 1345 212 - 224 1999.04

Language：English Publishing type：Research paper (scientific journal)

An induction algorithm based on fuzzy logic programming Reviewed

Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Methodologies for Knowledge Discovery and Data Mining - Third Pacific Asia Conference, PAKDD-99) 1574 268 - 273 1999.04

Language：English Publishing type：Research paper (scientific journal)

An Evolutionary Method Using Crossover in a Food Chain Simulation Reviewed

Atsuko Mutohm, Susumu Ono, Tsuyoshi Nakamura, Nobuhiro Inuzuka, Hidenori Itoh

Lecture Notes in Artificial Intelligence, Springer-Verlag (Advances in Artificial Life - 5th European Conference, ECAL'99) 1674 ( 2 ) 89 - 93 1999.04

Language：English Publishing type：Research paper (scientific journal)

A study of descriptions from a viewpoint of finite awareness Reviewed

Nobuhiro Inuzuka

Semiotica, Journal of the International Association for semiotic Studies 125 ( 1-3 ) 107 - 114 1999.04

Language：English Publishing type：Research paper (scientific journal)

A generation method to produce GA with GP capabilities for signal modeling Reviewed

Ahmed Ezzat, Nobuhiro Inuzuka, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Multiple Approaches to Intelligent Systems) 1611 118 - 126 1999.04

Language：English Publishing type：Research paper (scientific journal)

A Crossover for an Evolutionary Method Using an Extended Binary Binary Decision Diagram Reviewed

Atsuko Mutoh, Susumu Ono, Kosuku Moriwaki, Tsuyoshi Nakamura, Nobuhiro Inuzuka, Hidenori Itoh

Proceedings of the the European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany 179 - 184 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Soccer Agents Learning from Past Behabior with Inductive Logic Programming Reviewed

Tohgoroh Matsui, Kazuo Kashiwabara, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of the First IMC Workshop on Knowledge Mining in the Real-world 1999.04

Language：English Publishing type：Research paper (international conference proceedings)

Evolution of n-BDD Using Gnetic Programming Method - A Food Chain Simulation of Evolutional Agents Reviewed

Kosuke Moriwaki, Daisuke Yokoi, Nobuhiro Inuzuka, Hidenori Itoh

Journal of Japanese Society for Artificial Intelligence 14 ( 3 ) 477 - 484 1999.04

Language：Japanese Publishing type：Research paper (scientific journal)

Solving selection problems using preference relation based on Bayesian learning Reviewed

Tomofumi Nakano, Nobuhiro Inuzuka

Lecture Notes in Artificial Intelligence, Springer-Verlag (Proceedings of 10th International Conference of Inductive Logic Programming) 1866 147 - 164 1999.04

Language：English Publishing type：Research paper (scientific journal)

Parallel induction algorithms for large samples Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Discovery Science - First International Conference, DS'98) 1532 397 - 398 1998.04

Language：English Publishing type：Research paper (scientific journal)

Inducing Shogi Heuristics Using Inductive Logic Programming Reviewed

Tomofumi Nakano, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Inductive Logic Programming - 8th International Conference on Inductive Logic Programming) 1446 ( 8 ) 155 - 164 1998.04

Language：English Publishing type：Research paper (scientific journal)

Evolutionary learning of cooperation among heterogeneous agents Reviewed

Takayuki Fujinaga, Kosuke Moriwaki, Nobuhiro Itoh, Hidenori Itoh

Proceedings of the 2nd Asia-Pacific Confernce on Simulated Evolution and Learning (SEAL'98), Canberra 12 - 1 1998.04

Language：English Publishing type：Research paper (international conference proceedings)

Comparison of three parallel implementations of an induction algorithm Reviewed

Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of the 8th International Parallel Computing Workshop 181 - 188 1998.04

Language：English Publishing type：Research paper (international conference proceedings)

Acquiring heuristic values in search trees Reviewed

Nobuhiro Inuzuka, Tomofumi Nakano, Hidenori Itoh

Proceedings of the 11th International Conference on Applications of Prolog (INAP'98), Tokyo 11 157 - 162 1998.04

Language：English Publishing type：Research paper (international conference proceedings)

A Method to Generate Music Using Fractal Coding Reviewed

Yuji UENOSONO, Nobuhiro INUZUKA, Tsuyoshi NAKAMURA, Hirohisa SEKI, Hidenori ITOH

Sixteenth IASTED International Conference Applied Informatics (AI'98) 16 244 - 247 1998.04

Language：English Publishing type：Research paper (international conference proceedings)

Induction of recursive logic programs based on structural Analysis of saturations Reviewed

Nobuhiro Inuzuka, Mitsue Furusawa, Hirohisa Seki, Hidenori Itoh,

The Transaction of the Information Processing Sciety of Japan 39 ( 12 ) 3155 - 3164 1998.04

Language：Japanese Publishing type：Research paper (scientific journal)

Induction of logic programs with more than one recursive clause by analyzing saturations Reviewed

Mitsue Furusawa, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Inductive Logic Programming - 7th International Inductive Logic Programming Workshop) 1297 165 - 172 1997.04

Language：English Publishing type：Research paper (scientific journal)

Cooperative Behavior of Various Agents in Dynamic Environment Reviewed

Akihide Hiura, Toshiya Kuroda, Nobuhiro Inuzuka, Ken-ichi Itoh, Masashi Yamada, Hirohisa Seki, Hidenori Itoh

(Journal of) Computer and Industrial Engineering 33 ( 3-4 ) 601 - 604 1997.04

Language：English Publishing type：Research paper (scientific journal)

Bottom-up induction of logic programs with more than one recursive clause Reviewed

Mitsue Furusawa, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of IJCAl97 workshop Frontiers of Inductive Logic Programming 13 - 18 1997.04

Language：English Publishing type：Research paper (international conference proceedings)

An intelligent search method using inductive logic programming Reviewed

Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of IJCAI97 Workshop Frontiers of ILP 115 - 120 1997.04

Language：English Publishing type：Research paper (international conference proceedings)

An Experiment and Evalution of a Formation Control for Multi-Robot Based on Subsumption Archtecture Reviewed

Masahiro Ueda, Masashi Yamada, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of the 3rd Australian Workshop on Distributed Artificial Intelligence (AI'97 workshop) 145 - 164 1997.04

Language：English Publishing type：Research paper (international conference proceedings)

Allotment of Individual Roles Among Evolutionary Agents in Pursuit Problem Reviewed

Toshikazu Suzuki, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Proceedings of the Workshop on Evolutionary Computation (AI'97 workshop) 66 - 83 1997.04

Language：English Publishing type：Research paper (international conference proceedings)

A genetic method for evolutionary agents in a competitive environment Reviewed

Kosuke Moriwaki, Nobuhiro Inuzuka, Masashi Yamada, Hirohisa Seki, Hidenori Itoh

Soft Computing in Engineering Design and Manufacturing(P. K. Chawdhry et al eds.) 153 - 162 1997.04

Language：English Publishing type：Research paper (other academic)

A Game-theoretic Solution of Conflicts Among Competitive Agents Reviewed

Satoru Yoshida, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

Lecture Notes in Artificial Intelligence (Agents and Multi-Agent Systems - Formalisms, Methodologies, and Applications) 1441 193 - 204 1997.04

Language：English Publishing type：Research paper (scientific journal)

Self-adaptation of agent's behavior using GA with n-BDD Reviewed

Kosuke Moriwaki, Nobuhiro Inuzuka, Masashi Yamada, Hirohisa Seki, Hidenori Itoh

Proceedings of 5th IEEE International Workshop on Robotics and Human Communication 5 96 - 101 1996.04

Language：English Publishing type：Research paper (international conference proceedings)

Top-down induction of logic programs from Incomplete samples Reviewed

Nobuhiro INUZUKA, Masakage KAMO, Naohiro ISHII, Hirohisa SEKI, Hidenori ITOH

Lecture Notes in Artificial Intelligence (Inductive Logic Programming - 6th International workshop on Inductive Logic Programming) 1314 265 - 282 1996.04

Language：English Publishing type：Research paper (scientific journal)

A Method to adjust Conceptual Bias for Incremental Inductive Learning Reviewed

Nobuhiro INUZUKA, Taichi YAMADA, Naohiro ISHII

Proceedings of 13th IASTED International Conference Applied Informatics 13 164 - 167 1995.04

Language：English Publishing type：Research paper (international conference proceedings)

A method of knowledge processing system with knowledge scope Reviewed

Nobuhiro INUZUKA

Proceedings of the Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems 417 - 421 1995.04

Language：English Publishing type：Research paper (international conference proceedings)

Yong Wang, Nobuhiro Inuzuka, Naohiro Ishii

Journal of Japanese Society for Artificial Intelligence 10 ( 5 ) 778 - 785 1995.04

Language：Japanese Publishing type：Research paper (scientific journal)

Learning without Model-theoretic Improvements Reviewed

Nobuhiro Inuzuka

Proceedings of10th logic programming workshop(WLP'94) 10 1994.04

Language：English Publishing type：Research paper (international conference proceedings)

A Study on Comprehensibility of Concept Descriptions Reviewed

Nobuhiro Inuzuka

Proceedings of VI Conferencia de la Asociacion Espanola Para la Inteligencia Artificial (CAEPIA'95) 6 279 - 288 1994.04

Language：English Publishing type：Research paper (international conference proceedings)

A method of similarity metrics using fuzzy integration Reviewed

Yong Wang, Nobuhiro Inuzuka, Naohiro Ishii

Proceedings of Third Pacific Rim International Conference on Artificial Intelligence (PRICAI'94) 10 ( 5 ) 1028 - 1034 1994.04

Language：English Publishing type：Research paper (international conference proceedings)

Representative Sample of LISP Program inference from Examples Reviewed

Nobuhiro Inuzuka, Ken-ichi Takahashi, Naohiro Ishii

International Journal of Systems Science 23 ( 8 ) 1321 - 1334 1992.04

Language：English Publishing type：Research paper (scientific journal)

Knowledge Representation Based on Scope, and Its Semantics Reviewed

Nobuhiro Inuzuka, Naohiro Ishii

The Transactions of the Institute of Electronics, Information and Communication Engineers, A J75-A ( 6 ) 1098 - 1105 1992.04

Language：Japanese Publishing type：Research paper (scientific journal)

Learning Strategy Following Changes of Conceptual Bias Reviewed

Taichi Yamada, Nobuhiro Inuzuka, Naohiro Ishii

The Transactions of the Institute of Electronics, Information and communication Engineers, D-II J75-A ( 4 ) 762 - 769 1992.04

Language：Japanese Publishing type：Research paper (scientific journal)

Learning strategy for changes of conceptual bias Reviewed

Nobuhiro Inuzuka, Taichi Yamada, Naohiro Ishii

Proceedings of 1992 International Computer Symposium(ICS'92) 854 - 860 1991.04

Language：English Publishing type：Research paper (international conference proceedings)

Representation and Learning of Concepts Based on Scope Reviewed

Nobuhiro Inuzuka, Naohiro Ishii

Proceedings of 1991 International Conference on Industrial Electronics, Control and Instrumentation (IECON '91) 1617 - 1621 1991.04

Language：English Publishing type：Research paper (international conference proceedings)

A Study on Representative Sample of Inductive Inference of LISP Program from Examples Reviewed

Nobuhiro Inuzuka, Ken-ichi Takahashi, Naohiro Ishii

The Transactions of the Institute of Electronics, Information and Communication Engineers, D-II J73-D-II ( 10 ) 1761 - 1769 1990.04

Language：Japanese Publishing type：Research paper (scientific journal)

Construction of Functions from Examples by Using High Order Difference Reviewed

Nobuhiro Inuzuka, Ken-ichi Takahashi, Naohiro Ishii

The Transactions of the Institute of Electronics, Information and Communication Engineers, D-II J72-D-II ( 9 ) 1484 - 1792 1989.04

Language：Japanese Publishing type：Research paper (scientific journal)

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